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中文

HyperAI超神经

Universal Domain Adaptation On Domainnet

评估指标

H-Score

Source-free

评测结果

各个模型在此基准测试上的表现结果

			Paper Title	Repository
TASC	73.28	no	Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation	-
UniAM	61.52	no	Universal Domain Adaptation via Compressive Attention Matching	-
GLC	55.1	yes	Upcycling Models under Domain and Category Shift
UniOT	52.04	no	Unified Optimal Transport Framework for Universal Domain Adaptation
SAN	52.0	no	Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One Classifier	-
LEAD	50.8	yes	LEAD: Learning Decomposition for Source-free Universal Domain Adaptation
OVANet	50.7	no	OVANet: One-vs-All Network for Universal Domain Adaptation
DCC	49.20	no	Domain Consensus Clustering for Universal Domain Adaptation	-
CMU	48.25	no	Learning to Detect Open Classes for Universal Domain Adaptation	-
UMAD	47.1	yes	UMAD: Universal Model Adaptation under Domain and Category Shift	-
UAN	40.98	no	Universal Domain Adaptation	-
SHOT-O	32.6	no	Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation

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Universal Domain Adaptation On Domainnet | SOTA | HyperAI超神经